|Publication number||US7088780 B2|
|Application number||US 09/854,020|
|Publication date||Aug 8, 2006|
|Filing date||May 11, 2001|
|Priority date||May 11, 2001|
|Also published as||CN1240226C, CN1516975A, EP1386494A2, US20020176495, WO2002093937A2, WO2002093937A3|
|Publication number||09854020, 854020, US 7088780 B2, US 7088780B2, US-B2-7088780, US7088780 B2, US7088780B2|
|Inventors||Anthony Vetro, Huifang Sun, Peng Yin, Bede Liu, Tommy C. Poon|
|Original Assignee||Mitsubishi Electric Research Labs, Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (9), Non-Patent Citations (4), Referenced by (16), Classifications (26), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This invention relates generally to the field of transcoding bitstreams, and more particularly to reducing drift while transcoding video bitstreams.
Video compression enables the storing, transmitting, and processing of visual information with fewer storage, network, and processor resources. The most widely used video compression standards include MPEG-1 for storage and retrieval of moving pictures, MPEG-2 for digital television, and H.263 for video conferencing, see ISO/IEC 11172-2:1993, “Information Technology—Coding of Moving Pictures and Associated Audio for Digital Storage Media up to about 1.5 Mbit/s—Part 2: Video,” D. LeGall, “MPEG: A Video Compression Standard for Multimedia Applications,” Communications of the ACM, Vol. 34, No. 4, pp. 46-58, 1991, ISO/IEC 13818-2:1996, “Information Technology—Generic Coding of Moving Pictures and Associated Audio Information—Part 2: Video,” 1994, ITU-T SG XV, DRAFT H.263, “Video Coding for Low Bitrate Communication,” 1996, ITU-T SG XVI, DRAFT13 H.263+Q15-A-60 rev.0, “Video Coding for Low Bitrate Communication,” 1997.
These standards are relatively low-level specifications that primarily deal with a spatial compression of images or frames, and the spatial and temporal compression of sequences of frames. As a common feature, these standards perform compression on a per frame basis. With these standards, one can achieve high compression ratios for a wide range of applications.
Newer video coding standards, such as MPEG-4 for multimedia applications, see ISO/IEC 14496-2:1999, “Information technology—coding of audio/visual objects, Part 2: Visual,” allow arbitrary-shaped objects to be encoded and decoded as separate video object planes (VOP). The objects can be visual, audio, natural, synthetic, primitive, compound, or combinations thereof. Also, there is a significant amount of error resilience features built into this standard to allow for robust transmission across error-prone channels, such as wireless channels.
The emerging MPEG-4 standard is intended to enable multimedia applications, such as interactive video, where natural and synthetic materials are integrated, and where access is universal. In the context of video transmission, these compression standards are needed to reduce the amount of bandwidth on networks. The networks can be wireless or the Internet. In any case, the network has limited capacity, and contention for scarce resources should be minimized.
A great deal of effort has been placed on systems and methods that enable devices to transmit the content robustly and to adapt the quality of the content to the available network resources. When the content is encoded, it is sometimes necessary to further decode the bitstream before it can be transmitted through the network at a lower bit-rate or resolution.
As shown in
Earlier work on MPEG-2 transcoding has been published by Sun et al., in “Architectures for MPEG compressed bitstream scaling,” IEEE Transactions on Circuits and Systems for Video Technology, Apr. 1996. There, four methods of rate reduction, with varying complexity and architecture, were described.
To obtain the correction component 332, the re-quantized DCT coefficients are inverse quantized 360 and subtracted 370 from the original partially decoded DCT coefficients. This difference is transformed to the spatial domain via an I inverse DCT (IDCT) 365 and stored into a frame memory 380. The motion vectors 381 associated with each incoming block are then used to recall the corresponding difference blocks, such as in motion compensation 290. The corresponding blocks are then transformed via the DCT 332 to yield the correction component. A derivation of the method shown in
Assuncao et al. also described an alternate method for the same task. In the alternative method, they used a motion compensation (MC) loop operating in the frequency domain for drift compensation. Approximate matrices were derived for fast computation of the MC blocks in the frequency domain. A Lagrangian optimization was used to calculate the best quantizer scales for transcoding. That alternative method removed the need for the IDCT/DCT components.
According to prior art compression standards, the number of bits allocated for encoding texture information is controlled by a quantization parameter (QP). The above methods are similar in that changing the QP based on information that is contained in the original bitstream reduces the rate of texture bits. For an efficient implementation, the information is usually extracted directly from the compressed domain and can include measures that relate to the motion of macroblocks or residual energy of DCT blocks. The methods describes above are only applicable for bit-rate reduction.
Besides bit-rate reduction, other types of transformation of the bitstream can also be performed. For example, object-based transformations have been described in U.S. patent application Ser. No. 09/504,323, “Object-Based Bitstream Transcoder,” filed on Feb. 14, 2000 by Vetro et al. Transformations on the spatial resolution have been described in “Heterogeneous video transcoding to lower spatio-temporal resolutions, and different encoding formats,” IEEE Transaction on Multimedia, Jun. 2000, by Shanableh and Ghanbari.
It should be noted these methods produce bitstreams at a reduced spatial resolution reduction that lack quality, or are accomplished with high complexity. Also, proper consideration has not been given to the means by which reconstructed macroblocks are formed. This can impact both the quality and complexity, and is especially important when considering reduction factors different than two. Moreover, these methods do not specify any architectural details. Most of the attention is spent on various means of scaling motion vectors by a factor of two.
The DCT macroblocks are then down-sampled 530 by a factor of two by masking the high frequency coefficients of each 8×8 (23×23)luminance block in the 16×16 (24×24) macroblock to yield four 4×4 DCT blocks, see U.S. Pat. No. 5,262,854, “Low-resolution HDTV receivers,” issued to Ng on Nov. 16, 1993. In other words, down-sampling turns a group of blocks, for example four, into a group of four blocks of a smaller size.
By performing down-sampling in the transcoder, the transcoder must take additional steps to re-form a compliant 16×16 macroblock, which involves transformation back to the spatial domain, then again to the DCT domain. After the down-sampling, blocks are re-quantized 540 using the same quantization level, and then variable length coded 550. No methods have been described to perform rate control on the reduced resolution blocks.
To perform motion vector mapping 560 from full 559 to reduced 561 motion vectors, several methods suitable for frame-based motion vectors have been described in the prior art. To map from four frame-based motion vectors, i.e., one for each macroblock in a group, to one motion vector for the newly formed 16×16 macroblock, simple averaging or median filters can be applied. This is referred to as a 4:1 mapping.
However, certain compression standards, such as MPEG-4 and H.263, support advanced prediction modes that allow one motion vector per 8×8 block. In this case, each motion vector is mapped from a 16×16 macroblock in the original resolution to an 8×8 block in the reduced resolution macroblock. This is referred to as a 1:1 mapping.
It is desired to provide a method for transcoding bitstreams that overcomes the problems of the prior art methods for spatial resolution reduction. Furthermore, it is desired to provide a balance between complexity and quality in the transcoder. Furthermore it is desired to compensate for drift, and provide better up-sampling techniques during the transcoding.
A method compensates for drift in macroblocks of a partially decoded input bitstream. The macroblocks include intra-mode and inter-mode macroblocks, and each macroblock includes DCT coefficients, and at least one motion vector. An estimate of drift is measured in the partially decoded input bitstream. The estimated drift is translated into an intra refresh rate. The modes of inter-mode macroblock are mapped to intra-mode macroblock according to the refresh rate. The DCT coefficients and the motion vector for each changed macroblock are modified in accordance with the mapping for each changed macroblock.
The invention provides a system and method for transcoding compressed bitstreams of digital video signals to a reduced spatial resolution with minimum drift. First, several applications for content distribution that can use the transcoder according to the invention are described. Next, an analysis of a basic method for generating a bitstream at a lower spatial resolution is provided. Based on this analysis, several alternatives to the base method and the corresponding architectures that are associated with each alternative are described.
A first alternative, see
As will be described in greater detail below, the open-loop architecture of
To support the architectures according to the present invention, several additional techniques for processing blocks that would otherwise have groups of macroblock with “mixed” modes at the reduced resolution are also described.
A group of blocks, e.g., four, to be down-sampled is considered a “mixed” block when the group of blocks to be down-sampled contains blocks coded in both intra- and inter-modes. In the MPEG standards I-frames contain only macroblocks coded according to the intra-mode, and P-frames can include intra- and inter-mode coded blocks. These modes need to be respected, particularly while down-sampling, otherwise the quality of the output can be degraded.
Also, methods for drift-compensation and up-sampling DCT based data are described. These methods are useful for the second and third closed-loop architectures so that operations after the up-sampling can be performed properly and without additional conversion steps.
Applications for Reduced Spatial Resolution Transcoding
The primary target application for the present invention is the distribution of digital television (DTV) broadcast and Internet content to devices with low-resolution displays, such as wireless telephones, pagers, and personal digital assistance. MPEG-2 is currently used as the compression format for DTV broadcast and DVD recording, and MPEG-1 content is available over the Internet.
Because MPEG-4 has been adopted as the compression format for video transmission over mobile networks, the present invention deals with methods for transcoding MPEG-½ content to lower resolution MPEG-4 content.
Input source multimedia content 704 is stored in a database 710. The content is subject to a feature extraction and an indexing process 720. A database server 740 allows the clients 702 to browse the content of the database 710 and to make requests for specific content. A search engine 730 can be used to locate multimedia content. After the desired content has been located, the database server 740 forwards the multimedia content to a transcoder 750 according to the invention.
The transcoder 750 reads network and client characteristics. If the spatial resolution of the content is higher than the display characteristics of the client, then the method according to the invention is used to reduce the resolution of the content to match the display characteristics of the client. Also, if the bit-rate on the network channel is less than the bit-rate of the content, the invention can also be used.
Moreover, if access to the content stored on the HDD 830 is desired by a low-resolution external client 806 via the external network 802, then the transcoder 850 can also be used to deliver low-resolution multimedia content to this client.
Analysis of Base Method
In order to design a transcoder with varying complexity and quality, the signals generated by the method of
Because there is no motion compensated prediction for I-frames, i.e.,
x n 1 =e n 1, (1)
the signal is down-sampled 410,
y n 1 =D(x n 1). (2)
Then, in the encoder 120,
g n 2 =y n 1. (3)
The signal gn 2 is subject to the DCT 440, then quantized 450 with quantization parameter Q2. The quantized signal cout is variable length coded 460 and written to the transcoded bitstream 402. As part of the motion compensation loop in the encoder, cout is inverse quantized 470 and subject to the IDCT 480. The reduced resolution reference signal yn 2 481 is stored into the frame buffer 490 as the reference signal for future frame predictions.
In the case of P-frames, the identity
x n 1 =e n 1 +M f (x n−1 1) (4)
yields the reconstructed full-resolution picture. As with the I-frame, this signal is then down-converted via equation (2). Then, the reduced-resolution residual is generated according to
g n 2 =y n 1 −M r(y n−1 2), (5)
which is equivalently expressed as,
g n 2 =D(e n 1)+D(M f (x n−1 1))−M r(y n−1 2). (6)
The signal given by equation (6) represents the reference signal that the architectures described by this invention approximate. It should be emphasized that the complexity in generating this reference signal is high and is desired to approximate the quality, while achieving significant complexity reduction.
Give the approximations,
y n−1 2 =y n−1 1 (7a)
D(M f(x n−1 1))=M r(D(x n−1 1)=M r(y n−1 1) (7b)
the reduced resolution residual signal in equation (6) is expressed as,
g n 2 =D(e n 1). (8)
The above equation suggests the open-loop architecture for a transcoder 900 as shown in FIG. 9.
In the transcoder 900, the incoming bitstream 901 signal is variable length decoded 910 to generate inverse quantized DCT coefficients 911, and full resolution motion vectors, mvf 902. The full-resolution motion vectors are mapped by the MV mapping 920 to reduced-resolution motion vectors, mvr 903. The quantized DCT coefficients 911 are inverse quantized, with quantizer Q1 930, to yield signal En 1 931. This signal is then subject to a group of blocks processor 1300 as described in greater detail below. The output of the processor 1300 is down-sampled 950 to produce signal Gn 2 951. After down-sampling, the signal is quantized with quantizer Q2 960. Finally, the reduced resolution re-quantized quantized DCT coefficients and motion vectors are variable length coded 970 and written to the transcoded output bitstream 902.
The details and preferred embodiments of the group of blocks processor 1300 are described below, but briefly, the purpose of the group of blocks processor is to pre-process selected groups of macroblocks to ensure that the down-sampling process 950 will not generate groups of macroblocks in which its sub-blocks have different coding modes, e.g., both inter-and intra-blocks. Mixed coding modes within a macroblock are not supported by any known video coding standards.
Drift Compensation in Reduced Resolution
Given only the approximation given by equation (7b), the reduced resolution. residual signal in equation (6) is expressed as,
g n 2 =D(e n 1)+M r(y n−1 1 −y n−1 2) (9)
The above equation suggests the closed-loop architecture 1000 shown in
In this architecture, the incoming signal 1001 is variable length decoded 1010 to yield quantized DCT coefficients 1011 and full resolution motion vectors mvf 1012. The full-resolution motion vectors 1012 are mapped by the MV mapping 1020 to yield a set of reduced-resolution motion vectors, mvr 1021. The quantized DCT coefficients are inverse quantized 1030, with quantizer Q1. to yield signal En 1 1031. This signal is then subject to the group of blocks processor 1300 and down-sampled 1050. After down-sampling 1050, a reduced-resolution drift-compensating signal 1051 is added 1060 to the low-resolution residual 1052 in the DCT domain.
The signal 1061 is quantized with spatial quantizer Q2 1070. Finally, the reduced resolution re-quantized DCT coefficients 1071 and motion vectors 1021 are variable length coded 1080 to generate the output transcoded bitstream 1002.
The reference frame from which the reduced-resolution drift-compensating signal is generated is obtained by an inverse quantization 1090 of the re-quantizer residual Gn 2 1071, which is then subtracted 1092 from the down-sampled residual Gn 1 1052. This difference signal is subject to the IDCT 1094 and added 1095 to the low-resolution predictive component 1096 of the previous macroblock stored in the frame store 1091. This new signal represents the difference (yn−1 1−yn−1 2) 1097 and is used as the reference for low-resolution motion compensation for the current block.
Given the stored reference signal, low-resolution motion compensation 1098 is performed and the prediction is subject to the DCT 1099. This DCT-domain signal is the reduced-resolution drift-compensating signal 1051. This operation is performed on a macroblock-by-macroblock basis using the set of low-resolution motion vectors, mvr 1021.
First Method of Drift Compensation in Original Resolution
For an approximation,
M r(y n−1 2)=D(M f(U(y n−1 2)))=D(M f(x n−1 2)), (10)
the reduced resolution residual signal in equation (6) is expressed as,
g n 2 =D(e n 1)+M f(x n−1 1 −x n−1 2). (11)
The above equation suggests the closed-loop architecture 1100 shown in
In this architecture, the incoming signal 1001 is variable length decoded 1110 to yield quantized DCT coefficients 1111, and full resolution motion vectors, mvf 1112. The quantized DCT coefficients 1111 are inverse quantized 1130, with quantizer Q1, to yield signal En 1 1131. This signal is then subject to the group of blocks processor 1300. After group of blocks processing 1300, an original-resolution drift-compensating signal 1151 is added 1160 to the residual 1141 in the DCT domain. The signal 1162 is then down-sampled 1150, and quantized 1170 with quantizer Q2. Finally, the reduced resolution re-quantized DCT coefficients 1171, and motion vectors 1121 are variable length coded 1180, and written to the transcoded bitstream 1102.
The reference frame from which the original-resolution drift-compensating signal 1151 is generated by an inverse quantization 1190 of the re-quantizer residual Gn 2 1171, which is then up-sampled 1191. Here, after the up-sampling the up-sampled signal is subtracted 1192 from the original resolution residual 1161. This difference signal is subject to the IDCT 1194, and added 1195 to the original-resolution predictive component 1196 of the previous macroblock. This new signal represents the difference (xn−1 1−xn−1 2) 1197, and is used as the reference for motion compensation of the current macroblock in the original resolution.
Given the reference signal stored in the frame buffer 1181, original-resolution motion compensation 1198 is performed, and the prediction is subject to the DCT 1199. This DCT-domain signal is the original-resolution drift-compensating compensating signal 1151. This operation is performed on a macroblock-by-macroblock basis using the set of original-resolution motion vectors, mvf 1121.
Second Method of Drift Compensation in Original Resolution
Both drift compensating architectures in the original resolution do not use the motion vector approximations in generating the drift compensating signal 1151. This is accomplished by the use of up-sampling 1191. The two alternative architectures mainly differ in the choice of signals that are used to generate the difference signal. In the first method, the difference signal represents error due to re-quantization and resolution conversion, while the difference signal in the second method only considers the error due to re-quantization.
Because the up-sampled signal is not considered in the future decoding of the transcoded bitstream, it is reasonable to exclude any error measured by consecutive down-sampling and up-sampling in the drift compensation signal. However, up-sampling is still employed for two reasons: to make use of the full-resolution motion vectors 1121 to avoid any further approximation, and so that the drift compensating signal is in the original resolution and can be added 1160 to the incoming residual 1161 before down-sampling 1150.
Mixed Block Processor
The purpose of the group of blocks processor 1300 is to pre-process selected macroblocks to ensure that the down-sampling process do not generate macroblocks in which its sub-blocks have different coding modes, e.g., inter- and intra-blocks. Mixed coding modes within macroblocks are not supported by any known video coding standards.
A group of MB modes determine whether the group of blocks processor 1300 should process a particular MB. The group of blocks is processed if the group contains at least one intra-mode block, and at least one inter-mode block. After a macroblock is selected, its DCT coefficients and motion vector data are subject to modification.
In accordance with the chosen mode mapping, the MV data are then subject to modification 1320. Possible modifications that agree with corresponding mode mappings are described in detail below for
In a first embodiment of the group of blocks processor as shown in
In a second embodiment of the group of blocks processor as shown in
In a third embodiment shown in
It should be noted that to implement the second and third embodiments described above, a decoding loop that reconstructs to full-resolution can be used. This reconstructed data can be used as a reference to convert the DCT coefficients between intra- and inter-modes, or inter- and intra-modes. However, the use of such a decoding loop is not required. Other implementations can perform the conversions within the drift compensating loops.
For a sequence of frames with a small amount of motion, and a low-level of detail the low complexity strategy of
Drift Compensation with Block Processing
It should be noted that the group of block processor 1300 can also be used to control or minimize drift. Because intra coded blocks are not subject to drift, the conversion of inter-coded blocks to intra-coded blocks lessens the impact of drift.
As a first step 1350 of
Another method for computing the drift, which is also applicable to open-loop architectures, estimates the error incurred by truncated motion vectors. It is known that half-pixel motion vectors in the original resolution lead to large reconstruction errors when the resolution is reduced. Full-pixel motion vectors are not subject to such errors because they can still be mapped correctly to half-pixel locations. Given this, one possibility to measure the drift is to record the percentage of half-pixel motion vectors. However, because the impact of the motion vector approximation depends on the complexity of the content, another possibility is that the measured drift be a function of the residual components that are associated with blocks having half-pixel motion vectors.
The methods that use the energy of the difference signal and motion vector data to measure drift can be used in combination, and can also be considered over sub-regions in the frame. Considering sub-regions in the frame is advantageous because the location of macroblocks that benefit most by drift compensation method can be identified. To use these methods in combination, the drift is measured by the energy of the difference signal, or drift compensating signal for macroblocks having half-pixel motion vectors in the original resolution.
As a second step, the measured value of drift is translated into an “intra refresh rate” 1351 that is used as input to the group of blocks processor 1300. Controlling the percentage of intra-coded blocks has been considered in the prior art for encoding of video for error-resilient transmission, see for example “Analysis of Video Transmission over Lossy Channels,” Journal of Selected Areas of Communications, by Stuhlmuller, et al, 2000. In that work, a back-channel from the receiver to the encoder is assumed to communicate the amount of loss incurred by the transmission channel, and the encoding of intra-coded blocks is performed directly from the source to prevent error propagation due to lost data in a predictive coding scheme.
In contrast, the invention generates new intra-blocks in the compressed domain for an already encoded video, and the conversion from inter- to intra-mode is accomplished by the group of blocks processor 1300.
If the drift exceeds a threshold amount of drift, the group of blocks processor 1300 of
It should be noted that the invention generates new intra-blocks in the compressed domain, and this form of drift compensation can be performed in any transcoder with or without resolution reduction.
Any down-sampling method can be used by the transcoder according to the invention. However, the preferred down-sampling method is according to U.S. Pat. No. 5,855,151, “Method and apparatus for down-converting a digital signal,” issued on Nov. 10, 1998 to Sun et al, incorporated herein by reference.
The concept of this down-sampling method is shown in
This operation has been described for the DCT domain using 2D operations, but the operations can also be performed using separable 1D filters. Also, the operations can be completely performed in the spatial domain. Equivalent spatial domain filters can be derived using the methods described in U.S. patent application Ser. No. 09/035,969, “Three layer scalable decoder and method of decoding,” filed on Mar. 6, 1998 by Vetro et al, incorporated herein by reference.
The main advantage of using the down-sampling method in the transcoder according to the invention is that correct dimension of sub-blocks in the macroblock are obtained directly, e.g., from four 8×8 DCT blocks, a single 8×8 block can be formed. On the other hand, alternate prior art methods for down-sampling produce down-sampled data in a dimension that does not equal the required dimension of the outgoing sub-block of a macroblock, e.g., from four 8×8 DCT blocks, a four 4×4 DCT blocks is obtained. Then, an additional step is needed to compose a single 8×8 DCT block.
The above filters are useful components to efficiently implement the architecture shown in
Any means of prior art up-sampling can be used in the present invention. However, Vetro, et al., in U.S. Patent Application “Three layer scalable decoder and method of decoding,” see above, states that the optimal up-sampling method is dependent on the method of down-sampling. Therefore, the use an up-sampling filters xu that corresponds to the down-sampling filters xd is preferred, where the relation between the two filters is given by,
x u =x d T(x d x d T)−1 (12)
There are two problems associated with the filters derived from the above equations. First, the filters are only applicable in the spatial domain filters because the DCT filters are not invertable. But, this is a minor problem because the corresponding spatial domain filters can be derived, then converted to the DCT-domain.
However, the second problem is that the up-sampling filters obtained in this way correspond to the process shown in FIG. 15B. In this process, for example, an 2N×2N block 1502 is up-sampled 1520 to a single 2N+1×2N+1 block 1530. If up-sampling is performed entirely in the spatial domain, there is no problem. However, if the up-sampling is performed in the DCT domain, one has a 2N+1×2N+1 DCT block to deal with, i.e., with one DC component. This is not suitable for operations that require the up-sampled DCT block to be in standard MB format, i.e., four 2N×2N DCT blocks, where N is 4. That is, the up-sampled blocks have the same format or dimensionality as the original blocks, there just are more of them.
The above method of up-sampling in the DCT domain is not suitable for use in the transcoder described in this invention. In
With regard to notation in the following equations, lowercase variables indicate spatial domain signals, while uppercase variables represent the equivalent signal in the DCT domain.
As illustrated in
The DCT definition is
the IDCT definition is
Given the above, block E 1610 represents the up-sampled DCT block based on filtering C with Xu 1611, and e represents the up-sampled spatial domain block-based on filtering c with the xu 1621 given by equation (12). Note that e and E are related through a 2N-pt DCT/IDCT 1630. The input-output relations of the filtered input are given by,
As shown in
As the first step, equation (14) is substituted into equation (16b). The resulting expression is the spatial domain output e as a function of the DCT input C, which is given by,
To express A and B in terms of C using equation (17), the spatial domain relationship between a, b and e is
a i =e i; 0≦i≦N−1
b i−N =e i ; N≦i≦2N−1′ (18)
where i in the above denotes the spatial domain index. The DCT domain expression for a is given by,
Using equations (17) -(19) gives,
which is equivalently expressed as
which is equivalently expressed as
The above filters can then be used to up-sample a single block of a given dimension to a larger number of blocks, each having the same dimension as the original block. More generally, the filters derived here can be applied to any system that requires arithmetic operations on up-sampled DCT data.
To implement the filters given by equations (22) and (25), it is noted that each expression provides a k×q matrix of filter taps, where k is the index of an output pixel and q is the index of an input pixel. For 1D data, the output pixels are computed as a matrix multiplication. For 2D data, two steps are taken. First, the data is up-sampled in a first direction, e.g., horizontally. Then, the horizontally up-sampled data is up-sampled in the second direction, e.g., vertically. The order of direction for up-sampling can be reversed without having any impact on the results.
For horizontal up-sampling, each row in a block is operated on independently and treated as an N-dimensional input vector. Each input vector is filtered according to equations (21) and (24). The output of this process will be two standard DCT blocks.
For vertical up-sampling, each column is operated on independently and again treated as an N-dimensional input vector. As with the horizontal up-sampling, each input vector is filtered according to equations (21) and (24). The output of this process will be four standard DCT blocks as shown in FIG. 15C.
As stated for the above applications of the transcoder according to the invention, one of the key applications for this invention is MPEG-2 to MPEG-4 conversion. Thus far, the focus is mainly on the architectures used for drift compensation when transcoding to a lower spatial resolution and additional techniques that support the conversion to lower spatial resolutions.
However, syntax conversion between standard coding schemes is another important issue. Because we believe that this has been described by patent applications already pending, we do not provide any further details on this part.
Although the invention has been described by way of examples of preferred embodiments, it is to be understood that various other adaptations and modifications can be made within the spirit and scope of the invention. Therefore, it is the object of the appended claims to cover all such variations and modifications as come within the true spirit and scope of the invention.
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|U.S. Classification||375/240.02, 375/E07.211, 375/E07.148, 375/E07.256, 375/E07.252, 375/E07.198, 375/E07.224, 375/240.26|
|International Classification||H04N7/32, H04N7/26, H03M7/30, H04N7/36, H04N7/46, H04N7/12, H04N7/50|
|Cooperative Classification||H04N19/61, H04N19/59, H04N19/107, H04N19/40, H04N19/51|
|European Classification||H04N7/26A4C2, H04N7/36C, H04N7/50, H04N7/26T, H04N7/50R, H04N7/46S|
|Sep 10, 2001||AS||Assignment|
Owner name: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC., M
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:VETRO, ANTHONY;SUN, HUIFANG;YIN, PENG;AND OTHERS;REEL/FRAME:012148/0936
Effective date: 20010709
|Mar 11, 2010||FPAY||Fee payment|
Year of fee payment: 4
|Mar 11, 2010||SULP||Surcharge for late payment|
|Feb 4, 2014||FPAY||Fee payment|
Year of fee payment: 8